Powering the Future of Energy with Edge Intelligence
AI‑ready, standards‑based data infrastructure powering resilient, decentralized energy systems
Edge-Native Operational Intelligence for Distributed Energy
IOTech’s AI-ready edge data platforms help providers of Battery Energy Storage Systems, solar, wind, EV charging, and other DER assets transform high-volume data into real-time operational intelligence through secure, edge-native analytics and data operations at commercial scale.
Operational Challenges
As DER deployments scale, operators face growing challenges in integration, data management, real-time control, and security.
Heterogeneous Devices & Protocols
DER fleets span BESS, solar, wind, EV charging, and site controllers, each using different protocols and data models. This fragmentation slows integration and limits analytics.
High‑Volume, High‑Frequency Data
DERs generate continuous telemetry and events that are costly to centralize in the cloud. Operators need real-time insight and action at the edge.
Real‑Time Response Requirements
Grid-connected assets must respond to frequency, voltage, and dispatch signals in milliseconds. Cloud-only architectures cannot meet these demands.
Expanding Security Risks
Distributed assets expand the attack surface across endpoints. Operators need secure, zero-trust infrastructure from device to cloud.
Scaling to Fleet‑Level Operations
Growing deployments require scalable onboarding, monitoring, and lifecycle management. Manual processes slow growth.
Readiness for AI & Autonomy
AI-driven forecasting, optimization and predictive maintenance require high-quality normalized data and local execution.
EDGE-NATIVE ENERGY PLATFORM
Powering a Decentralized, Software-Defined Grid
IOTech enables distributed energy providers to transform complex real-time data into scalable, intelligent edge operations.
Massively scalable, federated architecture
Aggregates and distributes operational data across thousands of DER assets with deterministic performance and connectivity.
AI-ready infrastructure for fleet-scale operations
Delivers high-quality, time-aligned data and edge compute for forecasting, optimization, anomaly detection, and autonomous control.
Simplified integration and interoperability
Provides secure, standards-based access to real-time and historical operational data through open APIs and industrial protocols.
One Intelligent Edge Layer for Distributed Energy
A major grid-forming Battery Energy Storage System uses IOTech’s edge-native platform to unify operational data, enable real-time control, and support predictive analytics across thousands of DER assets.
Real-time response to grid events
Millisecond-level control enables rapid response to dispatch signals, frequency changes, and grid instability events
AI-ready operational data
High-quality, harmonized DER data supports predictive maintenance, forecasting, and automated market optimization
Scalable fleet-level management
Centralized edge management simplifies deployment, monitoring, and operations across distributed renewable energy sites.
GET STARTED
Ready to Connect Your Distributed Energy Systems?
Talk to our team about how IOTech helps unify DER data, accelerate deployment, and deliver real-time intelligence across distributed energy systems.